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We have 65 number theory PhD Projects, Programmes & Scholarships

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number theory PhD Projects, Programmes & Scholarships

We have 65 number theory PhD Projects, Programmes & Scholarships

Application of Linear-Scaling Quantum Mechanics Methods to Hydrogen Transport Through Complex Materials

Supervisory Team. Chris-Kriton Skylaris (80%) Jeremy Frey (20%). Project Description. The computational simulation of chemical reactions in materials requires an accurate, explicit description of their electrons. Read more

Electron Driven Chemistry in the Interstellar Medium

A PhD studentship is available joint between the groups of Cate Anstöter and Ewen Campbell, School of Chemistry, University of Edinburgh, see https://isla-edi.com/ . Read more

Postgraduate Research Opportunities in Global Development, Politics and International Relations & Security

About the School of Politics and International Studies. The School of Politics and International Studies is at the forefront of interdisciplinary research into international development, international relations and political studies. Read more

AI (De)Gendered Selfies, their psychological effects and prevention

  Research Group: Centre for Societies and Groups
Research Group. Centre for Societies and Groups. Proposed supervisory team. Dr Magdalena Zawisza. Theme. Gender stereotypes, selfies, Instagram, Stereotype Threat, Stereotype Content. Read more

PhD/MSc+PhD in Economics

The Department of Economics at Lancaster University Management School (LUMS) is inviting applications for entry into its PhD and Integrated PhD (one-year Masters plus four-year Doctoral study) programmes. Read more

Antimatter Chemistry: computational studies of matter-antimatter interactions

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Collaborative probabilistic machine learning

We develop probabilistic machine learning methods for helping other agents make better decisions, ultimately human agents in ongoing applications in science and engineering. Read more

Machine learning for studying supernovae

Supernovae are the explosive deaths of certain types of star at the ends of their lives. They play an important role in the Universe, being the key distributors of heavy elements. Read more

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